Summary

Dataset 1

Experiments excluded

Mask

Get figure file: figures/preliminary_dset-1_figure-mask.png

Peak coordinates

Get figure file: figures/preliminary_dset-1_figure-static.png
Get figure file: figures/preliminary_dset-1_figure-legend.png

Explorer

Meta-Analysis

Estimator

Parameters use to fit the meta-analytic estimator.

Corrector

Parameters use to fit the corrector.

Corrected meta-analytic map: z_corr-FDR_method-indep

Explorer

The following figure provides an interactive window to explore the meta-analytic map in detail.

Slice viewer

This panel shows the the corrrected meta-analytic map.

Get figure file: figures/corrector_figure-static.png

Diagnostics

Target image: z_corr-FDR_method-indep

Significant clusters

    X Y Z Peak Stat Cluster Size (mm3)
Tail Cluster ID          
Positive 1 6.00 18.00 44.00 5.01 9744
1a -4.00 16.00 52.00 3.87
1b 6.00 8.00 54.00 3.61
1c 4.00 10.00 46.00 3.61
2 50.00 28.00 14.00 4.72 11848
2a 54.00 28.00 6.00 4.41
2b 50.00 34.00 10.00 4.16
2c 32.00 18.00 4.00 3.87
3 46.00 -64.00 -4.00 4.41 8456
3a 50.00 -52.00 20.00 3.32
3b 48.00 -66.00 10.00 3.32
3c 46.00 -66.00 2.00 3.32
4 -58.00 -22.00 6.00 4.16 6784
4a -68.00 -24.00 4.00 3.05
4b -56.00 -16.00 -2.00 3.05
4c -52.00 -22.00 6.00 3.05
5 -6.00 46.00 -8.00 4.16 4704
5a -12.00 40.00 -10.00 3.32
5b 4.00 44.00 -10.00 3.05
5c -2.00 38.00 -12.00 3.05
6 -50.00 -60.00 26.00 3.87 8080
6a -56.00 -54.00 26.00 3.87
6b -50.00 -58.00 30.00 3.87
6c -52.00 -58.00 18.00 3.61
7 -30.00 -8.00 56.00 3.87 2072
7a -34.00 -12.00 62.00 2.41
7b -34.00 0.00 56.00 2.41
7c -28.00 -2.00 64.00 2.06
8 -42.00 22.00 -6.00 3.87 3656
8a -34.00 24.00 -8.00 3.05
8b -40.00 30.00 -2.00 2.74
8c -46.00 22.00 2.00 2.41
9 30.00 -2.00 -18.00 3.61 3072
9a 32.00 -10.00 -10.00 2.74
9b 26.00 -8.00 -18.00 2.74
9c 32.00 -8.00 -24.00 2.41
10 2.00 56.00 24.00 3.61 4016
10a -6.00 50.00 22.00 3.32
10b 0.00 50.00 30.00 3.32
10c 2.00 54.00 14.00 3.05
11 62.00 -24.00 4.00 3.32 4864
11a 54.00 -24.00 2.00 3.32
11b 58.00 -14.00 4.00 3.05
11c 58.00 -28.00 2.00 3.05
12 -4.00 -54.00 34.00 3.32 3176
12a 0.00 -52.00 42.00 2.74
12b -8.00 -58.00 28.00 2.41
12c 2.00 -58.00 32.00 2.41
13 -30.00 -4.00 -18.00 3.05 1584
13a -20.00 -8.00 -18.00 2.74
13b -30.00 0.00 -16.00 2.41
13c -20.00 0.00 -20.00 1.70
14 58.00 -2.00 -16.00 3.05 2392
14a 44.00 -2.00 -18.00 2.74
14b 52.00 -4.00 -18.00 2.74
14c 60.00 2.00 -12.00 2.74
15 -34.00 -50.00 -22.00 2.74 1272
15a -26.00 -50.00 -14.00 2.74
15b -22.00 -58.00 -12.00 2.41
15c -34.00 -56.00 -12.00 2.06
16 34.00 -50.00 -22.00 2.74 984
16a 24.00 -54.00 -22.00 2.06
16b 30.00 -50.00 -14.00 2.06
16c 34.00 -54.00 -8.00 2.06
17 12.00 6.00 4.00 2.74 1304
17a 18.00 4.00 -2.00 2.41
17b 6.00 12.00 2.00 2.06
17c 12.00 0.00 -4.00 2.06
18 34.00 -2.00 56.00 2.41 520
19 -54.00 -30.00 36.00 2.41 200
20 -44.00 -34.00 44.00 2.41 264
21 -38.00 -38.00 52.00 2.41 832
21a -34.00 -50.00 52.00 2.41
21b -40.00 -32.00 52.00 2.06
21c -36.00 -50.00 48.00 2.06
22 -6.00 -40.00 38.00 2.41 560
22a -10.00 -36.00 44.00 2.06
22b -4.00 -30.00 40.00 2.06
22c -4.00 -40.00 34.00 1.70
23 -22.00 -62.00 58.00 2.06 128
24 -20.00 -70.00 50.00 2.06 936
24a -14.00 -66.00 54.00 1.70
25 24.00 -48.00 60.00 2.06 144
26 -36.00 -26.00 58.00 2.06 136
27 36.00 6.00 -16.00 2.06 80
28 -46.00 -34.00 14.00 2.06 200
29 42.00 -76.00 22.00 2.06 192
30 -48.00 10.00 16.00 2.06 80

Label map: positive tail

Get figure file: figures/diagnostics_tail-positive_figure.png

FocusCounter

The FocusCounter analysis characterizes the relative contribution of each experiment in a meta-analysis to the resulting clusters by counting the number of peaks from each experiment that fall within each significant cluster.

The heatmap presents the relative contributions of each experiment to each cluster in the thresholded map. There is one row for each experiment, and one column for each cluster, with column names being PostiveTail/NegativeTail indicating the sign (+/-) of the cluster's statistical values. The rows and columns were re-ordered to form clusters in the heatmap.

Heatmap: positive tail

Methods

We kindly ask to report results preprocessed with this tool using the following boilerplate.

A multilevel kernel density (MKDA) meta-analysis \citep{wager2007meta} was performed was performed
with NiMARE 0.5.5+4.g957c959 (RRID:SCR_017398; \citealt{Salo2023}), using a(n) MKDA kernel. An MKDA
kernel \citep{wager2007meta} was used to generate study-wise modeled activation maps from
coordinates. In this kernel method, each coordinate is convolved with a sphere with a radius of
10.0 and a value of 1. For voxels with overlapping spheres, the maximum value was retained. Summary
statistics (OF values) were converted to p-values using an approximate null distribution. The input
dataset included 1615 foci from 217 experiments. False discovery rate correction was performed with
the Benjamini-Hochberg procedure \citep{benjamini1995controlling}.

Bibliography

@article{Salo2023,
  doi = {10.52294/001c.87681},
  url = {https://doi.org/10.52294/001c.87681},
  year = {2023},
  volume = {3},
  pages = {1 - 32},
  author = {Taylor Salo and Tal Yarkoni and Thomas E. Nichols and Jean-Baptiste Poline and Murat Bilgel and Katherine L. Bottenhorn and Dorota Jarecka and James D. Kent and Adam Kimbler and Dylan M. Nielson and Kendra M. Oudyk and Julio A. Peraza and Alexandre Pérez and Puck C. Reeders and Julio A. Yanes and Angela R. Laird},
  title = {NiMARE: Neuroimaging Meta-Analysis Research Environment},
  journal = {Aperture Neuro}
}
@article{benjamini1995controlling,
  title={Controlling the false discovery rate: a practical and powerful approach to multiple testing},
  author={Benjamini, Yoav and Hochberg, Yosef},
  journal={Journal of the Royal statistical society: series B (Methodological)},
  volume={57},
  number={1},
  pages={289--300},
  year={1995},
  publisher={Wiley Online Library},
  url={https://doi.org/10.1111/j.2517-6161.1995.tb02031.x},
  doi={10.1111/j.2517-6161.1995.tb02031.x}
}
@article{wager2007meta,
  title={Meta-analysis of functional neuroimaging data: current and future directions},
  author={Wager, Tor D and Lindquist, Martin and Kaplan, Lauren},
  journal={Social cognitive and affective neuroscience},
  volume={2},
  number={2},
  pages={150--158},
  year={2007},
  publisher={Oxford University Press},
  url={https://doi.org/10.1093/scan/nsm015},
  doi={10.1093/scan/nsm015}
}